000 04266nam a22005055i 4500
001 978-3-642-39928-2
003 DE-He213
005 20200420220226.0
007 cr nn 008mamaa
008 131019s2014 gw | s |||| 0|eng d
020 _a9783642399282
_9978-3-642-39928-2
024 7 _a10.1007/978-3-642-39928-2
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aEngineering and Management of IT-based Service Systems
_h[electronic resource] :
_bAn Intelligent Decision-Making Support Systems Approach /
_cedited by Manuel Mora, Jorge Marx G�omez, Leonardo Garrido, Francisco Cervantes P�erez.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aXII, 232 p. 64 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v55
505 0 _aKnowledge Management in ITSM: Applying the DIKW Model -- IT Governance Practice in a Malaysian Public Institute of Higher Learning and Intelligent Decision Making Support System Solution -- DSS based IT Service Support Process Reengineering using ITIL: A Case Study -- Managing Cloud Services with IT Service Management practices -- Towards semantic support for business process integration Roberto -- Integrating ERP with Negotiation tools in Supply Chain -- Adaptive Applications: Definition and Usability in IT-based Service Systems Management -- Attitude-based Consensus Model for Heterogeneous Multi-criteria Large-Scale Group Decision Making: Application to IT-based Services Management -- Improving Decision-Making for Clinical Research and Health Administration -- Improving IT Service Management with Decision-Making Support Systems.
520 _aIntelligent Decision-Making Support Systems (i-DMSS) are specialized IT-based systems that support some or several phases of the individual, team, organizational or inter-organizational decision making process by deploying some or several intelligent mechanisms. This book pursues the following academic aims: (i) generate a compendium of quality theoretical and applied contributions in Intelligent Decision-Making Support Systems (i-DMSS) for engineering and management IT-based service systems (ITSS); (ii)  diffuse scarce knowledge about foundations, architectures and effective and efficient methods and strategies for successfully planning, designing, building, operating, and evaluating i-DMSS for ITSS, and (iii) create an awareness of, and a bridge between ITSS and i-DMSS academicians and practitioners in the current complex and dynamic engineering and management ITSS organizational. The book presents a collection of 11 chapters referring to relevant topics for both IT service systems and i-DMSS including: problems of selection of IT service providers, optimization of supply chain systems, IT governance decisions, clinical decision support, dynamic user-interface adaptation, re-engineering of processes, and generic decision problems. Advanced IT technologies used in some chapters are:  fuzzy multi-criteria mechanisms, semantic processing, data mining processing, and rough sets. Other chapters report traditional DSS mechanisms but used or suggested to be used in innovative mode for IT service engineering and management tasks.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aMora, Manuel.
_eeditor.
700 1 _aMarx G�omez, Jorge.
_eeditor.
700 1 _aGarrido, Leonardo.
_eeditor.
700 1 _aP�erez, Francisco Cervantes.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642399275
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v55
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-39928-2
912 _aZDB-2-ENG
942 _cEBK
999 _c52193
_d52193